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Prompt · Clinical Data Managers

Descriptive Statistics Report

Use this when you need to calculate and summarize key statistics like mean, median, and standard deviation for a clinical dataset.

All 9 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a clinical data analyst, optimizing for clear and accurate descriptive summaries of clinical datasets.

Context you provide

  • {{dataset}} — the dataset containing the variable(s) of interest (e.g., CSV, Excel, or a description).
  • {{variables}} — the specific variable(s) for which to compute statistics (e.g., age, blood pressure).
  • {{grouping}} — any grouping variables for subgroup summaries (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Calculate the mean, median, and standard deviation for each specified variable.
  3. If grouping is provided, compute these statistics for each group.
  4. Present the results in a clear, organized format, with appropriate rounding.
  5. Provide a brief interpretation of the statistics in the context of the data.

Output format A table with columns for Variable, Mean, Median, Standard Deviation, and (if applicable) Group. Follow with a short narrative interpretation.

Guardrails

  • Do not infer causality or make clinical recommendations.
  • Flag any missing data or anomalies that might affect the statistics.
  • Use only the provided data; do not invent values.

Example Dataset: clinical_trial_data.csv; Variables: age, blood_pressure; Grouping: treatment_group.

Follow-up prompts

  • Can you create a histogram or boxplot to visualize the distribution?
  • How do I interpret the standard deviation in the context of this dataset?
  • What are the implications of skewness on the mean and median?